Thread by @RajlabN

#VariantDashboard #India - #30DayTrends

Top lineages:
XBB.1.16 (62.6%)
XBB.1.16.1 (9.3%)
XBB.2.3 (6.7%)
XBB.1.16 + NS3_V13L (4.7%)
XBB.2.3.2 (4%)
XBB.1.5 (3.8%)
XBB.1 (1.9%)
XBB.2.3.4 (1.2%)
XBB.2.3.3 (0.9%)
XBB.2.3.5 (0.7%)

Tracker:public.tableau.com/app/profile/ra…
04/18/23

Granular details - #VariantDashboard #India - #30DayTrends

XBB.1.16* (76.7%) is still the dominant variant group in #India, followed by XBB.2.3* (13.5%) Note: Data limited to few States that are sequencing and rapidly submitting data

#VariantDashboard #30DayTrends - #Delhi

XBB.1.16 (50.8%)
XBB.1.16+NS3_V13L (11.7%) 👀
XBB.1.16.1 (10.1%)
XBB.2.3 (6.8%)
XBB.2.3.2 (5.6%)
XBB.1.5 (4.5%)
XBB.1.9.1 (3.1%)

#VariantDashboard #30DayTrends - #Gujarat

XBB.1.16 (66.7%)
XBB.1.16.1 (9.1%)
XBB.2.3 (6.8%)
XBB.2.3.2 (5.3%)
XBB.2.3.4 (2.4%)
XBB.1 (2.3%)
XBB.1.5 (2.3%)
XBB.1.16+NS3_V13L (2.2%)
XBB.1.9.1 (0.8%)

#Delhi is a XBB.1.16 + NS3_V13L (ORF3a:V13L) hotspot

XBB.1.16 with NS3 V13L mutation (aka ORF3a V13L) has been proposed by @siamosolocani but has not been designated yet.

github.com/cov-lineages/p…

#SARSCoV2 #lineages #Collection42 maintained by
@wolfeagle1989 provides a table of growth advantages

👀XBB.1.16* and XBB.2.3* group of lineages (w/ baseline S:F484P)